MIMIC-CXR  We further adopt a recently released largest dataset to date, i.e., MIMIC-CXR [1]}, to verify the effectiveness of our approach. The dataset includes 377,110 chest X-ray images and 227,835 reports. Following [2]} for a fair comparison, we use the official splits to report our results. As a result, the MIMIC-CXR dataset is split into 368,960 images/222,758 reports for training, 2,991 images/1,808 reports for validation and 5,159 images/3,269 reports for testing. We convert all tokens of reports to lower-cases and remove the tokens whose frequency of occurrence is less than 10, resulting in around 4k words.
